Method and apparatus for transmitting information, method and apparatus for processing information, and communication device

Abstract

A method and apparatus for transmitting information, a method and apparatus for processing information, and a communication device. The method for transmitting information according to embodiments of the disclosure includes: determining, by a terminal, K groups of second channel information from first channel information based on first information; performing, by the terminal based on first AI network models corresponding to M groups of second channel information respectively, first processing on the M groups of second channel information, and obtaining M pieces of channel feature information, where the K groups of second channel information includes the M groups of second channel information; and transmitting, by the terminal, second information to a network side device, where the second information includes the M pieces of channel feature information.

What is claimed is: 
     
         1 . A method for transmitting information, comprising:
 determining, by a terminal, K groups of second channel information from first channel information based on first information, wherein the first information comprises grouping information of K groups of channel state information-reference signal (CSI-RS) transmission ports, the K groups of second channel information corresponds one-to-one to the K groups of CSI-RS transmission ports, each of the K groups of CSI-RS transmission ports comprises at least one CSI-RS transmission port, and K is an integer greater than or equal to 1;   performing, by the terminal based on first AI network models corresponding to M groups of second channel information respectively, first processing on the M groups of second channel information, and obtaining M pieces of channel feature information, wherein the K groups of second channel information comprises the M groups of second channel information; and   transmitting, by the terminal, second information to a network side device, wherein the second information comprises the M pieces of channel feature information.   
     
     
         2 . The method according to  claim 1 , wherein the first information comprises at least one of the following:
 a value of K;   a number of CSI-RS transmission ports in each group of CSI-RS transmission ports; or   identifiers of the CSI-RS transmission ports in each group of CSI-RS transmission ports.   
     
     
         3 . The method according to  claim 1 , wherein CSI-RS transmission ports located in a same group satisfy at least one of the following:
 polarization directions are the same;   corresponding transmission antennas are located in a same row;   corresponding transmission antennas are located in a same column;   time-domain resources are the same;   frequency-domain resources are the same;   code division multiple (CDM) manners are the same; or   N CSI-RS transmission ports continuously arranged in all CSI-RS transmission ports for the first channel information are encompassed, wherein N is an integer greater than or equal to 1.   
     
     
         4 . The method according to  claim 1 , wherein the first channel information comprises at least one of the following:
 an original channel matrix or vector;   a precoding matrix or vector;   a preprocessed channel matrix or vector; or   a preprocessed precoding matrix or vector.   
     
     
         5 . The method according to  claim 4 , wherein one group of second channel information comprises at least one of the following:
 an original channel matrix corresponding to one group of CSI-RS transmission ports, wherein the one group of CSI-RS transmission ports correspond to the one group of second channel information;   a matrix, formed by elements corresponding to the one group of CSI-RS transmission ports, in a first precoding matrix, wherein the first precoding matrix is a precoding matrix of the first channel information; or   a second precoding matrix, wherein the second precoding matrix is a precoding matrix of the one group of second channel information.   
     
     
         6 . The method according to  claim 1 , further comprising:
 determining, by the terminal, the first information based on the first AI network model possessed; and   transmitting, by the terminal, first indication information to the network side device, wherein the first indication information indicates the first information.   
     
     
         7 . The method according to  claim 1 , wherein before the determining, by a terminal, K groups of second channel information from first channel information based on first information, the method further comprises:
 receiving, by the terminal, third information from the network side device; wherein   the third information indicates or configures the first information; or the third information indicates a first identifier, the first identifier is associated with the first information, and the terminal acquires a first association relationship between the first information and the first identifier.   
     
     
         8 . The method according to  claim 1 , wherein the performing, by the terminal based on first AI network models corresponding to M groups of second channel information respectively, first processing on the M groups of second channel information, and obtaining M pieces of channel feature information comprises:
 performing, by the terminal, target normalization processing on the M groups of second channel information separately, and obtaining M groups of third channel information; and   performing, by the terminal, first processing on the M groups of third channel information based on first AI network models corresponding to the M groups of third channel information respectively, and obtaining the M pieces of channel feature information.   
     
     
         9 . The method according to  claim 8 , further comprising:
 transmitting, by the terminal, fourth information to the network side device, wherein the fourth information comprises a phase and/or amplitude relationship between M groups of CSI-RS transmission ports corresponding to the M groups of second channel information.   
     
     
         10 . The method according to  claim 1 , wherein a mapping relationship between the second channel information and the first AI network model satisfies at least one of the following:
 the M groups of second channel information corresponds to a same first AI network model;   the network side device indicates the first AI network models corresponding to the M groups of second channel information respectively; or   a number of CSI-RS transmission ports in a group of CSI-RS transmission ports corresponding to target second channel information matches an input dimension of a first AI network model corresponding to the target second channel information, wherein the M groups of second channel information comprises the target second channel information.   
     
     
         11 . A method for processing information, comprising:
 receiving, by a network side device, second information from a terminal, wherein the second information comprises M pieces of channel feature information, and the M pieces of channel feature information is channel feature information obtained by performing, based on first AI network models corresponding to M groups of second channel information respectively, first processing on the M groups of second channel information;   determining, by the network side device, second AI network models corresponding to the M pieces of channel feature information based on first information respectively, wherein the first information comprises grouping information of K groups of channel state information-reference signal (CSI-RS) transmission ports, K groups of second channel information corresponds one-to-one to the K groups of CSI-RS transmission ports, each of the K groups of CSI-RS transmission ports comprises at least one CSI-RS transmission port, the K groups of second channel information comprises the M groups of second channel information, and K and M are integers greater than or equal to 1; and   performing, by the network side device, second processing on the M pieces of channel feature information based on the second AI network models corresponding to the M pieces of channel feature information respectively, and obtaining the M groups of second channel information.   
     
     
         12 . The method according to  claim 11 , wherein the first information comprises at least one of the following:
 a value of K;   a number of CSI-RS transmission ports in each group of CSI-RS transmission ports; or   identifiers of the CSI-RS transmission ports in each group of CSI-RS transmission ports.   
     
     
         13 . The method according to  claim 11 , wherein CSI-RS transmission ports located in a same group satisfy at least one of the following:
 polarization directions are the same;   corresponding transmission antennas are located in a same row;   corresponding transmission antennas are located in a same column;   time-domain resources are the same;   frequency-domain resources are the same;   code division multiple (CDM) manners are the same; or   N CSI-RS transmission ports continuously arranged in CSI-RS transmission ports for first channel information are encompassed, wherein N is an integer greater than or equal to 1, and the first channel information is channel information of all CSI-RS transmission ports of channels corresponding to the M groups of second channel information.   
     
     
         14 . The method according to  claim 13 , wherein the first channel information comprises at least one of the following:
 an original channel matrix or vector;   a precoding matrix or vector;   a preprocessed channel matrix or vector; or   a preprocessed precoding matrix or vector.   
     
     
         15 . The method according to  claim 14 , wherein one group of second channel information comprises at least one of the following:
 an original channel matrix corresponding to one group of CSI-RS transmission ports, wherein the one group of CSI-RS transmission ports correspond to the one group of second channel information;   a matrix, formed by elements corresponding to the one group of CSI-RS transmission ports, in a first precoding matrix, wherein the first precoding matrix is a precoding matrix of the first channel information; or   a second precoding matrix, wherein the second precoding matrix is a precoding matrix of the one group of second channel information.   
     
     
         16 . The method according to  claim 11 , wherein before the determining, by the network side device, second AI network models corresponding to the M pieces of channel feature information based on first information respectively, the method further comprises:
 receiving, by the network side device, first indication information from the terminal, wherein the first indication information indicates the first information.   
     
     
         17 . The method according to  claim 11 , wherein before the receiving, by a network side device, second information from a terminal, the method further comprises:
 transmitting, by the network side device, third information to the terminal; wherein   the third information indicates or configures the first information; or the third information indicates a first identifier, the first identifier is associated with the first information, and the terminal acquires a first association relationship between the first information and the first identifier.   
     
     
         18 . The method according to  claim 11 , wherein the M pieces of channel feature information is channel feature information obtained by performing, based on first AI network models corresponding to M groups of third channel information, first processing on the M groups of third channel information, and the M groups of third channel information is channel information obtained by performing target normalization processing on the M groups of second channel information. 
     
     
         19 . The method according to  claim 18 , wherein the performing, by the network side device, second processing on the M pieces of channel feature information based on the second AI network models corresponding to the M pieces of channel feature information respectively, and obtaining the M groups of second channel information comprises:
 receiving, by the network side device, fourth information from the terminal, wherein the fourth information comprises a phase and/or amplitude relationship between M groups of CSI-RS transmission ports corresponding to the M groups of second channel information;   performing, by the network side device, the second processing on the M pieces of channel feature information based on the second AI network models corresponding to the M pieces of channel feature information respectively, and obtaining the M groups of third channel information; and   processing, by the network side device, the M groups of third channel information into the M groups of second channel information based on the fourth information.   
     
     
         20 . The method according to  claim 11 , wherein a mapping relationship between the second channel information and the first AI network model satisfies at least one of the following:
 the M groups of second channel information corresponds to a same first AI network model;   the network side device indicates the first AI network models corresponding to the M groups of second channel information respectively; or   a number of CSI-RS transmission ports in a group of CSI-RS transmission ports corresponding to target second channel information matches an input dimension of a first AI network model corresponding to the target second channel information, wherein the M groups of second channel information comprises the target second channel information.